Complexity
Related Papers
Smart Paradigms and the Predictability and Complexity of Inflectional Morphology
Morphological lexica are often imple- mented on top of morphological paradigms, corresponding to different ways of building the full inflection table of a word. Compu- tationally precise lexica may use …...
Fast Lexically Constrained Decoding with Dynamic Beam Allocation for Neural Machine Translation
AbstractThe end-to-end nature of neural machine translation (NMT) removes many ways of manually guiding the translation process that were available in older paradigms. Recent work, however, has introduced a new …...
Are we Estimating or Guesstimating Translation Quality?
AbstractRecent advances in pre-trained multilingual language models lead to state-of-the-art results on the task of quality estimation (QE) for machine translation. A carefully engineered ensemble of such models won the …...
KHANQ: A Dataset for Generating Deep Questions in Education
AbstractDesigning in-depth educational questions is a time-consuming and cognitively demanding task. Therefore, it is intriguing to study how to build Question Generation (QG) models to automate the question creation process. …...
How Do In-Context Examples Affect Compositional Generalization?
AbstractCompositional generalization–understanding unseen combinations of seen primitives–is an essential reasoning capability in human intelligence. The AI community mainly studies this capability by fine-tuning neural networks on lots of training samples, …...
Representation of Lexical Stylistic Features in Language Models’ Embedding Space
AbstractThe representation space of pretrained Language Models (LMs) encodes rich information about words and their relationships (e.g., similarity, hypernymy, polysemy) as well as abstract semantic notions (e.g., intensity). In this …...